Constructing Multiple Layers of Machine Learning for the Early Detection of Cardiovascular Diseases

EasyChair Preprint 7470

Abstract

Healthcare is an inevitable task to be done in human life. Cardiovascular diseases are one of the most common diseases among elders, as treatments at early stage has been proven to be able to reduce greatly the death rate, early diagnosis of cardiovascular diseases and the detection of high-risk patients are therefore extremely important. In response to this need in future society, we developed some machine learning models that can provide cardiovascular diseases diagnosis with lower budgets. We hope our work can reduce death risks for elder patients and preserve medical resources at the same time. Our proposed models are imported to the graphical user interface we developed. It helps users detect cardiovascular diseases early.

Keyphrases: Cardiovascular disease, Classification, Graphical User Interface, Multi-layered model, machine learning, prediction

@booklet{EasyChair:7470,
  author    = {Hao-Yun Hsieh and Chang-Fu Su and Shu-I Chiu},
  title     = {Constructing Multiple Layers of Machine Learning for the Early Detection of Cardiovascular Diseases},
  howpublished = {EasyChair Preprint 7470},
  year      = {EasyChair, 2022}}